Code design for lossless multiterminal networks
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We consider a general multitenninal (MT) system which consists of L encoders and P decoders. Let X 1 ,...,X L be memoryless, uniform, correlated random binary vectors of length n, and let X 1 ,...,X L denote their realizations. Let further 52 = {1,...,L}. The i-th encoder compresses Xi independently from other encoders. The j-th decoder receives the bitstreams from a set of encoders i and jointly decodes them. It should reconstruct the received source messages with arbitrarily small probability of error. To construct a practical coding scheme for this network, we exploit the fact that such a network can be split into P subnetworks, each being regarded as a Slepian-Wolf (SW) coding system with multiple sources. This SW subnetwork consists of a decoder which receives encodings of all X k 's such that k sw and attempts to reconstruct them perfectly. Based on, we first provide a code design for this setting, and then extend it to the general case.
